Xin‐Tong Wei
Impact in
- Gastroenterology top 10%
Papers in
-
- Gut microbiota and health 7
- RNA modifications and cancer 3
- Genetics 15
- Genetic Associations and Epidemiology 15
- Co-authors
- Guijuan Feng (16 shared papers)Yu‐Fang Pei (15 shared papers)Jing‐Jing Ni (10 shared papers)Qian Xu (10 shared papers)Lei Zhang (14 shared papers)Xiaolin Yang (12 shared papers)Lei Zhang (3 shared papers)Shanshan Yan (5 shared papers)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (2 papers)Bone (2 papers)Biomedicine & Pharmacotherapy (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)IEEE Geoscience and Remote Sensing Letters (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Xin‐Tong Wei
33 papers receiving 863 citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Biological Psychiatry 28
- Gastroenterology 46
- Physiology 214
- Genetics 215
- Molecular Biology 449
Countries citing papers authored by Xin‐Tong Wei
This map shows the geographic impact of Xin‐Tong Wei's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xin‐Tong Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin‐Tong Wei more than expected).
Fields of papers citing papers by Xin‐Tong Wei
This network shows the impact of papers produced by Xin‐Tong Wei. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xin‐Tong Wei. The network helps show where Xin‐Tong Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin‐Tong Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Causal Relationship Between Gut Microbiota and Autoimmune Diseases: A Two-Sample Mendelian Randomization Study Hit paper breakdown → | 2022 | 193 |
| 2 | 2020 | 159 | |
| 3 | 2022 | 107 | |
| 4 | 2023 | 52 | |
| 5 | 2023 | 34 | |
| 6 | 2022 | 31 | |
| 7 | 2023 | 31 | |
| 8 | 2019 | 30 | |
| 9 | 2020 | 24 | |
| 10 | 2019 | 24 | |
| 11 | 2022 | 20 | |
| 12 | 2021 | 18 | |
| 13 | 2021 | 16 | |
| 14 | 2022 | 14 | |
| 15 | 2023 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2020 | 11 | |
| 18 | 2020 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2019 | 9 |
About Xin‐Tong Wei
Xin‐Tong Wei is a scholar working on Molecular Biology, Genetics, Cancer Research, Epidemiology and Physiology, having authored 35 papers that have together received 872 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (15 papers), Gut microbiota and health (7 papers), Tryptophan and brain disorders (3 papers), Effects of Radiation Exposure (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Bone health and osteoporosis research (2 papers). The work is most often cited by research in Biological Psychiatry (28 citations), Gastroenterology (46 citations), Physiology (214 citations), Genetics (215 citations) and Molecular Biology (449 citations). Xin‐Tong Wei has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Guijuan Feng, Yu‐Fang Pei, Jing‐Jing Ni, Qian Xu, Lei Zhang, Xiaolin Yang, Lei Zhang, Shanshan Yan, Bai‐Xue Han and Hong Zhang. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Bone, Biomedicine & Pharmacotherapy, The Journal of Clinical Endocrinology & Metabolism and IEEE Geoscience and Remote Sensing Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.